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Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition

文献类型：期刊论文

作者Li, Jinpeng1,2; Zhang, Zhaoxiang1,2,3; He, Huiguang1,2,3
刊名COGNITIVE COMPUTATION
出版日期2018-04-01
卷号10期号:2页码:368-380
关键词Affective Brain-computer Interface Emotion Recognition Brain Wave Deep Learning Eeg
DOI10.1007/s12559-017-9533-x
文献子类Article
英文摘要Traditional machine learning methods suffer from severe overfitting in EEG-based emotion reading. In this paper, we use hierarchical convolutional neural network (HCNN) to classify the positive, neutral, and negative emotion states. We organize differential entropy features from different channels as two-dimensional maps to train the HCNNs. This approach maintains information in the spatial topology of electrodes. We use stacked autoencoder (SAE), SVM, and KNN as competing methods. HCNN yields the highest accuracy, and SAE is slightly inferior. Both of them show absolute advantage over traditional shallow models including SVM and KNN. We confirm that the high-frequency wave bands Beta and Gamma are the most suitable bands for emotion reading. We visualize the hidden layers of HCNNs to investigate the feature transformation flow along the hierarchical structure. Benefiting from the strong representational learning capacity in the two-dimensional space, HCNN is efficient in emotion recognition especially on Beta and Gamma waves.
WOS关键词BRAIN-COMPUTER INTERFACES ; VIGILANCE ESTIMATION ; CLASSIFICATION ; RESPONSES
WOS研究方向Computer Science ; Neurosciences & Neurology
语种英语
WOS记录号WOS:000430190600016
资助机构National Natural Science Foundation of China(91520202 ; CAS Scientific Equipment Development Project(YJKYYQ20170050) ; Youth Innovation Promotion Association CAS ; 81671651)
源URL[http://ir.ia.ac.cn/handle/173211/21582]  
专题自动化研究所_智能感知与计算研究中心
作者单位1.Chinese Acad Sci, Inst Automat, Res Ctr Brain Inspired Intelligence, Beijing, Peoples R China
2.UCAS, Beijing, Peoples R China
3.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Li, Jinpeng,Zhang, Zhaoxiang,He, Huiguang. Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition[J]. COGNITIVE COMPUTATION,2018,10(2):368-380.
APA Li, Jinpeng,Zhang, Zhaoxiang,&He, Huiguang.(2018).Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition.COGNITIVE COMPUTATION,10(2),368-380.
MLA Li, Jinpeng,et al."Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition".COGNITIVE COMPUTATION 10.2(2018):368-380.

入库方式： OAI收割

来源：自动化研究所

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